8 citations · 12 across the 13 of their papers we have counts for
14 papers
ACPSL: Adaptive Communication-Computation Pipeline Parallel Split Learning over Edge Networks
Chenyu Liu, Zhaoyang Zhang, Zirui Chen +3
In wireless edge networks, split learning (SL) enables base station (BS) to utilize the distributed data and computing power across user equipments (UEs) to achieve collaborative m…
Full-Domain Coupler: A Wireless Native Neural Backbone for Channel Representation and Deduction
Zirui Chen, Ziqing Xing, Zhaoyang Zhang +5
Data representation is a fundamental issue in deep learning. However, as wireless data scales and deeply couples across many physical domains such as time, space, and frequency, ex…
Synergizing Global Pattern Learning and Time Order Characterization in Mobile Channel Prediction: An RWKV-Based Approach
Zili Wang, Zirui Chen, Ridong Li +2
Owing to the potential to reduce pilot overhead and mitigate channel aging, channel prediction is emerging as an important research topic in wireless communications. Meanwhile, dee…
Geometry-Aided Channel Deduction: A Robust Channel Acquisition Framework Utilizing Coarse Scenario Prompt
Hongning Ruan, Zhaoyang Zhang, Zirui Chen +2
Channel state information (CSI) is critical for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. Pilot-based channel estimation methods suf…
Agentic AI-RAN Empowering Synergetic Sensing, Communication, Computing, and Control
Lingxiao Sun, Zhaoyang Zhang, Zihan Lin +4
Future sixth-generation (6G) networks are expected to support low-altitude wireless networks (LAWNs), where unmanned aerial vehicles (UAVs) and aerial robots operate in highly dyna…
Communication-Computation Pipeline Parallel Split Learning over Wireless Edge Networks
Chenyu Liu, Zhaoyang Zhang, Zirui Chen +1
Split learning (SL) offloads main computing tasks from multiple resource-constrained user equippments (UEs) to the base station (BS), while preserving local data privacy. However,…
Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design
Ziqing Xing, Zhaoyang Zhang, Zirui Chen +3
In this paper, we incorporate physical knowledge into learning-based high-precision target sensing using the multi-view channel state information (CSI) between multiple base statio…
Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization
Zirui Chen, Hongning Ruan, Zhaoyang Zhang +4
Modern learning systems often struggle with joint learning across diverse scenarios and immediate adaptation to new ones, because they rely heavily on the scenario-dependent absolu…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model
Zirui Chen, Zhaoyang Zhang, Chenyu Liu +1
Research on leveraging big artificial intelligence model (BAIM) technology to drive the intelligent evolution of wireless networks is emerging. However, breakthroughs in generaliza…
VBIM-Net: Variational Born Iterative Network for Inverse Scattering Problems
Ziqing Xing, Zhaoyang Zhang, Zirui Chen +3
Recently, studies have shown the potential of integrating field-type iterative methods with deep learning (DL) techniques in solving inverse scattering problems (ISPs). In this art…
Channel Deduction: A New Learning Framework to Acquire Channel from Outdated Samples and Coarse Estimate
Zirui Chen, Zhaoyang Zhang, Zhaohui Yang +2
How to reduce the pilot overhead required for channel estimation? How to deal with the channel dynamic changes and error propagation in channel prediction? To jointly address these…
Channel Mapping Based on Interleaved Learning with Complex-Domain MLP-Mixer
Zirui Chen, Zhaoyang Zhang, Zhaohui Yang +1
In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, representing the whole channel only based on partial subchannels will significan…
An Edge-Cloud Collaboration Framework for Generative AI Service Provision with Synergetic Big Cloud Model and Small Edge Models
Yuqing Tian, Zhaoyang Zhang, Yuzhi Yang +5
Generative artificial intelligence (GenAI) offers various services to users through content creation, which is believed to be one of the most important components in future network…